Short-Term Forecasting of Taiwanese Earthquakes Using a Universal Model of Fusion-Fission Processes

Predicting how large an earthquake can be, where and when it will strike remains an elusive goal in spite of the ever-increasing volume of data collected by earth scientists. In this paper, we introduce a universal model of fusion-fission processes that can be used to predict earthquakes starting from catalog data. We show how the equilibrium dynamics of this model very naturally explains the Gutenberg-Richter law. Using the high-resolution earthquake catalog of Taiwan between Jan 1994 and Feb 2009, we illustrate how out-of-equilibrium spatio-temporal signatures in the time interval between earthquakes and the integrated energy released by earthquakes can be used to reliably determine the times, magnitudes, and locations of large earthquakes, as well as the maximum numbers of large aftershocks that would follow.

[1]  F. Chapin,et al.  Thresholds for boreal biome transitions , 2012, Proceedings of the National Academy of Sciences.

[2]  S. Carpenter,et al.  Anticipating Critical Transitions , 2012, Science.

[3]  M. Scheffer,et al.  Recovery rates reflect distance to a tipping point in a living system , 2011, Nature.

[4]  M. Baiesi,et al.  Scale-free networks of earthquakes and aftershocks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Ian G. Main,et al.  Is the reliable prediction of individual earthquakes a realistic scientific goal , 1999 .

[6]  J. B. Rundle,et al.  Self-organization in leaky threshold systems: The influence of near-mean field dynamics and its implications for earthquakes, neurobiology, and forecasting , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[7]  B. Gutenberg,et al.  Frequency of Earthquakes in California , 1944, Nature.

[8]  Y. Kagan,et al.  Earthquakes Cannot Be Predicted , 1997, Science.

[9]  S. Redner,et al.  Introduction To Percolation Theory , 2018 .

[10]  Max Wyss,et al.  Why is earthquake prediction research not progressing faster , 2001 .

[11]  Robert J. Geller,et al.  Earthquake prediction: is this debate necessary? , 1999 .

[12]  Kristy F. Tiampo,et al.  Mean-field threshold systems and phase dynamics: An application to earthquake fault systems , 2002 .

[13]  Kwok,et al.  Electrostatically driven granular media: phase transitions and coarsening , 2000, Physical review letters.

[14]  J. Avery.  Critical review. , 2006, The Journal of the Arkansas Medical Society.

[15]  D. Turcotte,et al.  Self-organized criticality , 1999 .

[16]  G. Molchan,et al.  Aftershock identification: methods and new approaches , 1992 .

[17]  M. Scheffer,et al.  Global Resilience of Tropical Forest and Savanna to Critical Transitions , 2011, Science.

[18]  Thomas H. Jordan,et al.  Operational Earthquake Forecasting: Some Thoughts on Why and How , 2010 .

[19]  M. Basta,et al.  An introduction to percolation , 1994 .

[20]  Keiiti Aki,et al.  Higher-order interrelations between seismogenic structures and earthquake processes , 1992 .

[21]  Vladimir I. Keilis-borok,et al.  Earthquake Prediction: State-of-the-Art and Emerging Possibilities , 2002 .

[22]  L. Arcangelis,et al.  Identification and spatiotemporal organization of aftershocks , 2009 .

[23]  Cliff Frohlich,et al.  Single-link cluster analysis, synthetic earthquake catalogues, and aftershock identification , 1991 .

[24]  S. Luding,et al.  Cluster-growth in freely cooling granular media. , 1999, Chaos.

[25]  S. Carpenter,et al.  Early-warning signals for critical transitions , 2009, Nature.

[26]  John B. Rundle,et al.  Statistical physics approach to understanding the multiscale dynamics of earthquake fault systems , 2003 .

[27]  N. Johnson,et al.  Common ecology quantifies human insurgency , 2009, Nature.

[28]  Y. Ogata.  Space-Time Point-Process Models for Earthquake Occurrences , 1998 .

[29]  V. I. Keilis-Borok,et al.  The lithosphere of the Earth as a nonlinear system with implications for earthquake prediction , 1990 .

[30]  A. Allen,et al.  Future Proofing Cities , 2012 .

[31]  N. Johnson,et al.  Equivalent dynamical complexity in a many-body quantum and collective human system , 2010, 1011.6398.

[32]  J.,et al.  Earthquake prediction: a critical review , 1997 .